package com.ruoyi.system.service.impl;

import java.util.*;
import java.text.SimpleDateFormat;
import org.springframework.stereotype.Service;
import com.ruoyi.system.service.ICreditEvaluationService;

/**
 * 信用评估服务实现类
 * 
 * @author ruoyi
 * @date 2024-01-26
 */
@Service
public class CreditEvaluationServiceImpl implements ICreditEvaluationService 
{
    private static final int BASE_SCORE = 600; // 基础信用分
    private static final int MAX_SCORE = 850;   // 最高信用分
    private static final int MIN_SCORE = 350;   // 最低信用分

    /**
     * 计算用户信用分
     */
    @Override
    public int calculateCreditScore(Long userId)
    {
        // 这里应该根据实际业务逻辑计算信用分
        // 暂时返回模拟信用分
        Map<String, Object> analysis = getCreditDimensionAnalysis(userId);
        
        int behaviorScore = (Integer) analysis.get("behaviorScore");
        int performanceScore = (Integer) analysis.get("performanceScore");
        int activityScore = (Integer) analysis.get("activityScore");
        int socialScore = (Integer) analysis.get("socialScore");
        
        // 加权计算总分
        int totalScore = (int) (behaviorScore * 0.3 + performanceScore * 0.3 + 
                               activityScore * 0.2 + socialScore * 0.2);
        
        // 确保分数在合理范围内
        return Math.max(MIN_SCORE, Math.min(MAX_SCORE, totalScore));
    }

    /**
     * 获取信用分维度分析
     */
    @Override
    public Map<String, Object> getCreditDimensionAnalysis(Long userId)
    {
        Map<String, Object> analysis = new HashMap<>();
        
        // 模拟各维度得分
        analysis.put("behaviorScore", 720);     // 行为表现分
        analysis.put("performanceScore", 780);  // 履约表现分
        analysis.put("activityScore", 650);     // 平台活跃分
        analysis.put("socialScore", 690);       // 社会责任分
        
        // 各维度权重
        analysis.put("behaviorWeight", 30);
        analysis.put("performanceWeight", 30);
        analysis.put("activityWeight", 20);
        analysis.put("socialWeight", 20);
        
        // 维度描述
        analysis.put("behaviorDesc", "基础信息完整度、身份认证等");
        analysis.put("performanceDesc", "服务使用记录、按时还款等");
        analysis.put("activityDesc", "平台使用频率、参与活动等");
        analysis.put("socialDesc", "公益活动、志愿服务等");
        
        return analysis;
    }

    /**
     * 获取信用分历史记录
     */
    @Override
    public List<Map<String, Object>> getCreditScoreHistory(Long userId)
    {
        List<Map<String, Object>> history = new ArrayList<>();
        
        // 模拟历史记录
        history.add(createScoreRecord("2024-01-25", 785, 5, "完成志愿服务活动"));
        history.add(createScoreRecord("2024-01-22", 780, 10, "按时归还租赁物品"));
        history.add(createScoreRecord("2024-01-20", 770, -5, "服务评价较低"));
        history.add(createScoreRecord("2024-01-18", 775, 15, "参与环保回收活动"));
        history.add(createScoreRecord("2024-01-15", 760, 8, "完善个人信息"));
        history.add(createScoreRecord("2024-01-12", 752, 12, "完成信用任务"));
        history.add(createScoreRecord("2024-01-10", 740, 0, "初始信用分"));
        
        return history;
    }

    /**
     * 更新用户信用分
     */
    @Override
    public void updateCreditScore(Long userId, int scoreChange, String reason, String actionType)
    {
        // 这里应该实现真实的信用分更新逻辑
        // 包括：更新数据库、记录变更日志、触发相关事件等
        System.out.println(String.format("更新用户%d信用分：%+d分，原因：%s，类型：%s", 
                                        userId, scoreChange, reason, actionType));
    }

    /**
     * 获取用户推荐任务
     */
    @Override
    public List<Map<String, Object>> getRecommendedTasks(Long userId)
    {
        List<Map<String, Object>> tasks = new ArrayList<>();
        
        // 根据用户当前信用状况推荐任务
        Map<String, Object> analysis = getCreditDimensionAnalysis(userId);
        int behaviorScore = (Integer) analysis.get("behaviorScore");
        int activityScore = (Integer) analysis.get("activityScore");
        int socialScore = (Integer) analysis.get("socialScore");
        
        // 如果行为分较低，推荐基础任务
        if (behaviorScore < 750) {
            tasks.add(createTask(1L, "完善个人资料", "上传身份证、完善联系方式", 
                               10, "信息完善", "basic", 3));
            tasks.add(createTask(2L, "进行身份认证", "完成实名认证流程", 
                               15, "身份认证", "identity", 2));
        }
        
        // 如果活跃度较低，推荐活动任务
        if (activityScore < 700) {
            tasks.add(createTask(3L, "使用生活服务", "体验至少3项生活服务", 
                               20, "平台体验", "activity", 7));
            tasks.add(createTask(4L, "邀请好友注册", "邀请3位好友注册并使用服务", 
                               25, "推广奖励", "referral", 5));
        }
        
        // 如果社会责任分较低，推荐公益任务
        if (socialScore < 720) {
            tasks.add(createTask(5L, "参与公益活动", "参加1次志愿服务活动", 
                               30, "社会责任", "charity", 10));
            tasks.add(createTask(6L, "环保回收", "完成5次资源回收", 
                               20, "环保行动", "recycle", 14));
        }
        
        return tasks;
    }

    /**
     * 完成提升任务
     */
    @Override
    public void completeTask(Long userId, Long taskId, Map<String, Object> completionData)
    {
        // 这里应该实现任务完成的逻辑
        // 包括：验证任务完成条件、更新任务状态、奖励积分等
        
        String taskType = (String) completionData.get("taskType");
        int rewardPoints = (Integer) completionData.getOrDefault("rewardPoints", 0);
        
        // 更新信用分
        updateCreditScore(userId, rewardPoints, "完成信用提升任务", "task_completion");
        
        System.out.println(String.format("用户%d完成任务%d，获得%d积分", userId, taskId, rewardPoints));
    }

    /**
     * 获取信用等级信息
     */
    @Override
    public Map<String, Object> getCreditLevelInfo(int creditScore)
    {
        Map<String, Object> levelInfo = new HashMap<>();
        
        if (creditScore >= 800) {
            levelInfo.put("level", "excellent");
            levelInfo.put("levelName", "优秀");
            levelInfo.put("color", "#67C23A");
            levelInfo.put("benefits", Arrays.asList("最高优惠", "免押金服务", "优先客服"));
            levelInfo.put("nextLevel", null);
            levelInfo.put("nextLevelScore", null);
        } else if (creditScore >= 750) {
            levelInfo.put("level", "good");
            levelInfo.put("levelName", "良好");
            levelInfo.put("color", "#409EFF");
            levelInfo.put("benefits", Arrays.asList("高级优惠", "部分免押金", "快速审核"));
            levelInfo.put("nextLevel", "优秀");
            levelInfo.put("nextLevelScore", 800);
        } else if (creditScore >= 700) {
            levelInfo.put("level", "medium");
            levelInfo.put("levelName", "中等");
            levelInfo.put("color", "#E6A23C");
            levelInfo.put("benefits", Arrays.asList("基础优惠", "标准服务"));
            levelInfo.put("nextLevel", "良好");
            levelInfo.put("nextLevelScore", 750);
        } else if (creditScore >= 650) {
            levelInfo.put("level", "fair");
            levelInfo.put("levelName", "一般");
            levelInfo.put("color", "#F56C6C");
            levelInfo.put("benefits", Arrays.asList("基础服务"));
            levelInfo.put("nextLevel", "中等");
            levelInfo.put("nextLevelScore", 700);
        } else {
            levelInfo.put("level", "poor");
            levelInfo.put("levelName", "较差");
            levelInfo.put("color", "#909399");
            levelInfo.put("benefits", Arrays.asList("限制服务"));
            levelInfo.put("nextLevel", "一般");
            levelInfo.put("nextLevelScore", 650);
        }
        
        levelInfo.put("currentScore", creditScore);
        
        return levelInfo;
    }

    /**
     * 检查用户是否有资格使用某项服务
     */
    @Override
    public Map<String, Object> checkServiceEligibility(Long userId, String serviceType, Long serviceId)
    {
        Map<String, Object> result = new HashMap<>();
        
        // 获取用户当前信用分
        int userCreditScore = calculateCreditScore(userId);
        
        // 根据服务类型设置不同的信用分要求
        int requiredScore = getServiceRequiredScore(serviceType, serviceId);
        
        boolean eligible = userCreditScore >= requiredScore;
        result.put("eligible", eligible);
        result.put("userCreditScore", userCreditScore);
        result.put("requiredScore", requiredScore);
        result.put("scoreDifference", userCreditScore - requiredScore);
        
        if (!eligible) {
            result.put("suggestions", getImprovementSuggestions(userCreditScore, requiredScore));
        } else {
            // 计算优惠信息
            result.put("discountRate", calculateDiscountRate(userCreditScore));
            result.put("benefits", getServiceBenefits(userCreditScore, serviceType));
        }
        
        return result;
    }

    /**
     * 获取用户信用报告
     */
    @Override
    public Map<String, Object> getCreditReport(Long userId)
    {
        Map<String, Object> report = new HashMap<>();
        
        // 基本信息
        int creditScore = calculateCreditScore(userId);
        report.put("creditScore", creditScore);
        report.put("levelInfo", getCreditLevelInfo(creditScore));
        report.put("reportDate", new SimpleDateFormat("yyyy-MM-dd HH:mm:ss").format(new Date()));
        
        // 维度分析
        report.put("dimensionAnalysis", getCreditDimensionAnalysis(userId));
        
        // 历史记录
        report.put("scoreHistory", getCreditScoreHistory(userId));
        
        // 使用统计
        Map<String, Object> usageStats = new HashMap<>();
        usageStats.put("totalServices", 28);
        usageStats.put("successfulServices", 26);
        usageStats.put("successRate", 92.9);
        usageStats.put("averageRating", 4.6);
        usageStats.put("totalSpending", 15800);
        report.put("usageStats", usageStats);
        
        // 推荐任务
        report.put("recommendedTasks", getRecommendedTasks(userId));
        
        // 改进建议
        report.put("improvementSuggestions", getImprovementSuggestions(creditScore, 800));
        
        return report;
    }

    /**
     * 批量更新用户信用分
     */
    @Override
    public Map<String, Object> batchUpdateCreditScores()
    {
        Map<String, Object> result = new HashMap<>();
        
        // 这里应该实现批量更新逻辑
        // 模拟批量更新结果
        result.put("totalUsers", 15423);
        result.put("updatedUsers", 12876);
        result.put("averageScoreChange", 2.3);
        result.put("updateTime", new SimpleDateFormat("yyyy-MM-dd HH:mm:ss").format(new Date()));
        
        return result;
    }

    /**
     * 获取信用分排行榜
     */
    @Override
    public List<Map<String, Object>> getCreditScoreRanking(int limit)
    {
        List<Map<String, Object>> ranking = new ArrayList<>();
        
        // 模拟排行榜数据
        for (int i = 1; i <= limit; i++) {
            Map<String, Object> user = new HashMap<>();
            user.put("rank", i);
            user.put("userId", (long) i);
            user.put("userName", "用户" + i);
            user.put("creditScore", 850 - i * 2);
            user.put("levelInfo", getCreditLevelInfo(850 - i * 2));
            ranking.add(user);
        }
        
        return ranking;
    }

    /**
     * 预测用户信用分趋势
     */
    @Override
    public Map<String, Object> predictCreditTrend(Long userId, int days)
    {
        Map<String, Object> prediction = new HashMap<>();
        
        // 获取历史数据
        List<Map<String, Object>> history = getCreditScoreHistory(userId);
        
        // 简单的线性预测（实际应用中可以使用更复杂的算法）
        int currentScore = calculateCreditScore(userId);
        List<Map<String, Object>> trendData = new ArrayList<>();
        
        for (int i = 1; i <= days; i++) {
            Map<String, Object> point = new HashMap<>();
            point.put("date", getDateAfterDays(i));
            // 模拟预测分数（假设每天平均增长0.5分）
            point.put("predictedScore", currentScore + (int)(i * 0.5));
            trendData.add(point);
        }
        
        prediction.put("trendData", trendData);
        prediction.put("confidence", 0.75); // 预测置信度
        prediction.put("factors", Arrays.asList("历史表现", "活跃度", "任务完成率"));
        
        return prediction;
    }

    // 辅助方法
    private Map<String, Object> createScoreRecord(String date, int score, int change, String reason) {
        Map<String, Object> record = new HashMap<>();
        record.put("date", date);
        record.put("score", score);
        record.put("change", change);
        record.put("reason", reason);
        return record;
    }

    private Map<String, Object> createTask(Long taskId, String title, String description, 
                                          int points, String category, String type, int estimatedDays) {
        Map<String, Object> task = new HashMap<>();
        task.put("taskId", taskId);
        task.put("title", title);
        task.put("description", description);
        task.put("points", points);
        task.put("category", category);
        task.put("type", type);
        task.put("estimatedDays", estimatedDays);
        task.put("difficulty", points < 15 ? "easy" : points < 25 ? "medium" : "hard");
        return task;
    }

    private int getServiceRequiredScore(String serviceType, Long serviceId) {
        switch (serviceType) {
            case "rental":
                return 720; // 租房服务要求
            case "hotel":
                return 700; // 酒店服务要求
            case "goods":
                return 680; // 商品购买要求
            case "life_service":
                return 650; // 生活服务要求
            default:
                return 600; // 默认要求
        }
    }

    private double calculateDiscountRate(int creditScore) {
        if (creditScore >= 800) return 0.20; // 20%优惠
        if (creditScore >= 750) return 0.15; // 15%优惠
        if (creditScore >= 700) return 0.10; // 10%优惠
        if (creditScore >= 650) return 0.05; // 5%优惠
        return 0.0; // 无优惠
    }

    private List<String> getServiceBenefits(int creditScore, String serviceType) {
        List<String> benefits = new ArrayList<>();
        
        if (creditScore >= 800) {
            benefits.add("免押金服务");
            benefits.add("最高等级优惠");
            benefits.add("优先客服支持");
        } else if (creditScore >= 750) {
            benefits.add("部分免押金");
            benefits.add("高级会员优惠");
            benefits.add("快速审核");
        } else if (creditScore >= 700) {
            benefits.add("标准优惠");
            benefits.add("正常审核");
        }
        
        return benefits;
    }

    private List<String> getImprovementSuggestions(int currentScore, int targetScore) {
        List<String> suggestions = new ArrayList<>();
        
        int gap = targetScore - currentScore;
        
        if (gap > 50) {
            suggestions.add("完善个人资料，提高基础信用分");
            suggestions.add("积极参与平台活动，增加活跃度");
        }
        
        if (gap > 30) {
            suggestions.add("按时完成服务，保持良好记录");
            suggestions.add("参与公益活动，提升社会责任分");
        }
        
        if (gap > 10) {
            suggestions.add("完成推荐的信用提升任务");
            suggestions.add("邀请朋友使用平台服务");
        }
        
        return suggestions;
    }

    private String getDateAfterDays(int days) {
        Calendar cal = Calendar.getInstance();
        cal.add(Calendar.DAY_OF_MONTH, days);
        return new SimpleDateFormat("yyyy-MM-dd").format(cal.getTime());
    }
} 